Differences from slot attention.
Slot attention was originally introduced
for self-supervised object segmentation for RGB images [1]},
and its usefulness was demonstrated on synthetic data (CLEVR [2]}),
where objects are primitive shapes with simple textures.
However,
this assumption is unlikely to hold in the case of natural images or videos,
making it challenging to generalize such object-centric representations.
